Serving Models
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Introduction
TensorFlow Serving is a flexible, high-performance serving system for machine
learning models, designed for production environments. TensorFlow Serving makes
it easy to deploy new algorithms and experiments, while keeping the same server
architecture and APIs. TensorFlow Serving provides out-of-the-box integration
with TensorFlow models, but can be easily extended to serve other types of
models and data.
Detailed developer documentation on TensorFlow Serving is available:
Except as otherwise noted, the content of this page is licensed under the Creative Commons Attribution 4.0 License, and code samples are licensed under the Apache 2.0 License. For details, see the Google Developers Site Policies. Java is a registered trademark of Oracle and/or its affiliates.
Last updated 2021-01-28 UTC.
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